Generalized Nets Model of Data Parallel Processing in Large Scale Wireless Sensor Networks

The Generalized Nets (GN) approach is an advanced way of parallel processes modeling and analysis of complex systems as Large-scale Wireless Sensor Networks (LWSN). The LWSN such as meteorological and air quality monitoring systems could generate a large amount of data that can reach petabytes per year. The sensor data-parallel processing is one of the possible solutions to reduce inter-node communication to save energy. At the same time, the on-site parallel processing requires additional energy, needed for computational data processing. Therefore, the development of a realistic model of the process is critical for the optimization analysis of every large scale sensor network. In the proposed paper, a new developed GN based model of a sensor nodes data-parallel processing of LWSN with cluster topology is presented. The proposed model covers all the aspects of the inter-node sensor data integration and the cluster-based parallel processes specific for large scale amounts of sensor data operations.